Continuation

Continuation is a programming concept that allows a function to be paused, return control to the caller, and then later resume execution from where it left off. It's a way to write asynchronous code that looks and behaves like synchronous code, making it easier for developers to reason about the flow of their program without getting tangled up in callback hell or promise chains.

How to use it in a sentence

  • "I was trying to debug this gnarly issue with the new feature, but I kept getting lost in all the continuations and async/await statements," grumbled the senior engineer as he stared bleary-eyed at his monitor.

  • "We need to refactor this legacy codebase to use continuations instead of these nested callbacks," said the tech lead, rolling her eyes at the spaghetti code left behind by the previous team.

If you actually want to learn more...

  • Ship / Show / Ask: This branching strategy combines pull requests with the ability to keep shipping changes, categorizing them as either "Ship" (merge without review), "Show" (open a PR but merge immediately), or "Ask" (open a PR for discussion before merging).

  • Domain-Oriented Observability: This article describes a pattern to add business-relevant observability to your codebase in a clean, testable way, without cluttering it up with verbose logging and instrumentation calls.

  • Canary Release: Canary release is a technique to reduce the risk of introducing a new software version by slowly rolling it out to a small subset of users before making it available to everyone, allowing you to catch issues early before they impact your entire user base.

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy